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Hajj Sun Protection Study: AI Qualitative Analysis

Evidano8 min read

Health researchers and public health teams need to understand why people do or do not adopt protective behaviors in demanding environments. The 2026 Hajj sun protection study provides a useful example: participant accounts reveal that pilgrims and nurses often understood sun exposure primarily as a heat problem, while knowledge of ultraviolet radiation, UPF-rated products, and the UV Index remained limited. This post explains the study’s qualitative design, findings, and implications for researchers using AI qualitative analysis to synthesize interviews without losing cultural context. It also shows how Evidano can help organize multilingual interview data, identify themes, compare participant groups, and preserve source-backed evidence for review.

Key Takeaways

The PLoS ONE study on Hajj sun protection, published on November 11, 2026, found that pilgrims and nurses recognized the burden of sun exposure but had limited understanding of UV-specific risks and UPF-rated products.

The study used semi-structured interviews with 16 Saudi pilgrims and 13 registered nurses, conducted from June 20 to July 11, 2025, and identified five major themes: physical and emotional effects, knowledge gaps, cultural influences, barriers, and recommendations.

  • According to the November 11, 2026 PLoS ONE study, 29 participants were interviewed, including 16 pilgrims and 13 nurses involved in the 2025 Hajj season.
  • According to the study authors, interviews lasted approximately 30 to 45 minutes and were analyzed using Braun and Clarke’s six-phase thematic analysis approach.
  • The PLoS ONE researchers reported that participants frequently described exhaustion, dizziness, dehydration, and fainting as heat-related experiences, while UV-specific effects were raised less often.
  • The study reported that language differences, product cost, limited availability, cultural clothing norms, discomfort, and forgetting protective items reduced consistent sun protection.
  • The study authors recommended structured pre-Hajj education, multilingual communication, affordable protective products, and messages that clearly distinguish heat-related illness from UV-related harm.

What the Hajj Sun Protection Study Examined

The November 11, 2026 PLoS ONE study examined awareness, attitudes, and behaviors related to sunscreen, UPF-rated clothing, umbrellas, and other sun-protection measures during Hajj.

The researchers conducted retrospective Zoom interviews from June 20 to July 11, 2025, within approximately one month of the 2025 Hajj season. The sample included 16 Saudi pilgrims and 13 registered nurses who had worked in hospitals in Makkah and Madinah.

The PLoS ONE research team interviewed all pilgrims and Saudi nurses in Arabic, interviewed one non-Saudi nurse in English, transcribed interviews verbatim, and audited a random 20% sample of translated transcripts against the original Arabic recordings.

The researchers used purposive sampling and assessed saturation separately for pilgrims and nurses. The study reported that saturation was reached after 16 pilgrim interviews and 13 nurse interviews, when the final two to three interviews in each group produced no new codes.

The study used NVivo 12.6, independent coding of an initial 20% transcript sample by three researchers, consensus discussions, and Lincoln and Guba’s criteria for qualitative trustworthiness.

One nurse summarized the knowledge gap by saying, "Honestly, I have no knowledge about UV-protection products, " according to the November 11, 2026 PLoS ONE study. One pilgrim similarly said, "I didn’t even know there are special fabrics for blocking UV rays."

Hajj Sun Protection Study Findings Snapshot

Date or periodMetricValueResearch implication
June 20 to July 11, 2025Interview period22 daysThe study captured recalled experiences within approximately one month after the 2025 Hajj season.
2025 Hajj seasonPilgrim participants16 Saudi pilgrimsPilgrim accounts revealed personal, cultural, and practical barriers to protection.
2025 Hajj seasonNurse participants13 registered nursesNurse accounts highlighted communication, training, and system-level barriers.
November 11, 2026Major themes5 themesThe thematic structure connected symptoms, knowledge, culture, barriers, and proposed interventions.
Interview sessions in 2025Interview durationApproximately 30 to 45 minutesThe dataset offered detailed narrative material for thematic coding.
During analysis of the 2025 interviewsTranslated transcript auditRandom 20% sampleThe audit supported conceptual and semantic checking across Arabic and English data.
2025 Hajj health research cited by the studyPilgrims not using umbrellas in direct sunlight26.9%The cited evidence indicated a measurable gap between exposure risk and protective behavior.

Implications for Public Health and Qualitative Researchers

The November 11, 2026 PLoS ONE study shows that effective health communication must separate heat-related illness from UV-related harm because participants often treated both risks as the same sun exposure problem.

The study authors reported that participants associated sun exposure mainly with heat symptoms such as exhaustion, dizziness, dehydration, and fainting. The researchers explained that hydration, rest, and cooling address heat-related illness, while sunscreen and UPF-rated clothing or umbrellas address UV exposure.

The study found that cultural beliefs shaped behavior in both restrictive and enabling ways. Some participants described older pilgrims as viewing physical hardship as part of the spiritual challenge of Hajj, while other participants reported that umbrella use had become more socially accepted.

The researchers identified different priorities by participant group. Nurses emphasized multilingual communication, formal training, and institutional preparedness, while pilgrims emphasized cost, comfort, access, and forgetting protective items.

For qualitative researchers, the study demonstrates why cross-segment analysis matters. Comparing pilgrim and nurse interviews can show where groups agree, where their explanations differ, and which interventions address individual behavior versus institutional conditions.

Because the study included only Saudi pilgrims during one Hajj season, the authors cautioned that the findings should not automatically represent the wider international Hajj population. Health teams should therefore treat the findings as context-specific qualitative evidence rather than statistical estimates for all pilgrims.

This is a research and public health interpretation, not medical advice or a diagnostic assessment.

How Evidano Supports AI Qualitative Analysis of Hajj Interviews

Problem: Researchers need to find themes across many interview transcripts

Evidano is an AI-powered qualitative data analysis platform that helps researchers analyze interview transcripts, open-ended survey responses, and documents.

Evidano can support thematic, content, frequency, and cross-segment analyses, helping research teams examine themes such as knowledge gaps, cultural beliefs, communication barriers, and product access across pilgrim and nurse groups.

Researchers can review the platform’s relevant qualitative research features when designing an AI-assisted workflow.

Problem: Multilingual interviews can complicate comparison

The November 11, 2026 PLoS ONE study included Arabic interviews, one English interview, translation, and a 20% translated-transcript audit, showing why language quality and meaning preservation matter.

Evidano provides transcription and translation workflows with custom dictionaries, which can help teams standardize recurring terminology before comparing multilingual themes. Human researchers should still review translations, culturally specific expressions, and analytically important quotations.

Problem: Researchers must connect themes to participant segments

The PLoS ONE study found that nurses emphasized systemic and communication barriers, while pilgrims emphasized personal and practical barriers.

Evidano’s cross-segment analysis can help researchers compare groups, locations, demographics, or study waves and identify whether a theme is shared or segment-specific.

Problem: Stakeholders need an auditable way to interrogate findings

The study used independent coding, consensus discussions, member checking, and audit trails to strengthen trustworthiness.

Evidano’s AI chat over uploaded documents and analyses can help researchers ask follow-up questions about coded material and locate supporting passages. Researchers remain responsible for checking interpretations against the original transcripts and study design.

Evidano states that uploaded data is encrypted and never used to train third-party models, which is relevant when handling sensitive interview research.

FAQ: AI Qualitative Analysis for Hajj Sun Protection Research

What did the 2026 Hajj sun protection study find?

The study found that pilgrims and nurses recognized sun exposure as a serious challenge but had limited understanding of UV-specific risks, UPF-rated products, and the UV Index.

The November 11, 2026 PLoS ONE study identified five themes covering physical and emotional effects, knowledge gaps, cultural influences, barriers, and recommendations.

How many people participated in the Hajj sun protection study?

The study included 29 participants: 16 Saudi pilgrims and 13 registered nurses.

The researchers interviewed participants from June 20 to July 11, 2025, and assessed thematic saturation separately for the two participant groups.

What qualitative method did the Hajj study use?

The study used a qualitative descriptive design with retrospective semi-structured interviews and inductive thematic analysis.

The researchers followed Braun and Clarke’s six-phase approach, supported the analysis with NVivo 12.6, and used member checking, investigator triangulation, and audit trails to address trustworthiness.

Why is cross-segment analysis useful for this research?

Cross-segment analysis is useful because pilgrims and nurses described different barriers to sun protection.

The study reported that nurses focused more on language, training, and institutional obstacles, while pilgrims focused more on cost, comfort, availability, and forgetting protective items.

Can AI replace human judgment in qualitative health research?

AI can accelerate transcript organization, coding support, comparison, and retrieval, but AI should not replace human judgment in qualitative health research.

Researchers should verify AI-generated themes against original transcripts, preserve participant meaning, document analytical decisions, and account for translation, cultural context, ethics, and study limitations.

Conclusion and Next Steps for AI Qualitative Analysis

The November 11, 2026 PLoS ONE study shows how qualitative interviews can reveal the difference between recognizing sun exposure and understanding the specific actions needed to reduce heat and UV risks.

The study’s 29 interviews produced five themes and highlighted why researchers should compare participant groups, preserve multilingual meaning, and connect reported behaviors to cultural and practical context.

AI qualitative analysis can make this work more manageable by accelerating thematic coding, cross-segment comparisons, evidence retrieval, and synthesis while keeping researchers responsible for interpretation and validation.

Researchers working with interviews, open-ended survey responses, or multilingual documents can try Evidano for free to organize qualitative evidence and turn participant accounts into clearer, reviewable findings.

Topics

  • Hajj sun protection study
  • AI qualitative analysis
  • qualitative analysis of health interviews
  • thematic analysis of interview data
  • sun protection research

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